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Generative Ai Engineer Jobs in New York (NOW HIRING)

Citigroup, Inc.

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

Citi

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

Uncountable

Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

Description Uncountable is seeking driven software engineers with a focus on Generative AI deployment in software. Uncountable's software platform is used by scientists in leading scientific R&D ...

Citi

Senior Generative AI Developer

New York, NY · On-site

$142K - $213K/yr

About the Role We are looking for a Senior Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

Role: Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop ...

InterSources Inc

Gen AI Engineer

Edison, NJ · On-site

... in Generative AI-related fields Qualifications : Required : • Strong hands-on Python knowledge ... Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • ...

eTeam

AI/ML Engineer - Generative AI

Manhattan, NY · On-site

Job Summary : eTeam is a company seeking an AI/ML Engineer specializing in Generative AI. The role involves designing, building, and deploying AI systems and collaborating with various teams to ...

ISite Technologies Inc

Lead Applied AI Engineer

Manhattan, NY · On-site

$113K - $148K/yr

Lead Applied AI Engineer Role Summary We are seeking an accomplished Lead Applied AI Engineer to architect and deliver advanced AI systems that seamlessly integrate Generative AI capabilities, AI ...

ClinDCast LLC

AI Engineer

Warren, NJ · On-site

AI/ML Engineer - Generative AI & LLM Job Summary We are seeking a skilled AI/ML Engineer with expertise in Generative AI, Large Language Models (LLMs), and agent-based systems. The ideal candidate ...

Citigroup Inc.

Lead Generative AI Developer

Manhattan, NY · On-site

$177 - $265/hr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

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Generative Ai Engineer information

See New York salary details

$41.6K

$126.8K

$209.5K

How much do generative ai engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for generative ai engineer in New York is $126,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $165,700.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in New York?

The most popular types of Generative Ai Engineer jobs in New York are:

What are popular job titles related to Generative Ai Engineer jobs in New York?

For Generative Ai Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer jobs in New York look for?

The top searched job categories for Generative Ai Engineer jobs in New York are:

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in New York as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $126,760 per year, or $60.9 per hour.

Lead Generative AI Developer

Citigroup, Inc.

New York, NY • On-site

$176K - $265K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

39th of 175 rated banks

Job description

About the Role
We are looking for a Lead Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting-edge Generative AI and Large Language Model (LLM) solutions that directly transform how Citi's operational teams work. You will collaborate with cross-functional stakeholders - including operations leads, data engineers, product managers, and enterprise architects to deliver enterprise-grade AI capabilities at scale.
This is a hands-on engineering role for a builder who thrives at the intersection of applied AI research and production software engineering.
Key Responsibilities
  • Design & Build GenAI Solutions: Architect and implement end-to-end Generative AI pipelines including LLM integrations, Retrieval-Augmented Generation (RAG) systems, autonomous AI agents, and prompt engineering frameworks.
  • Python Development: Develop robust, scalable, and production-ready Python services and APIs that power AI-driven features across COO platforms.
  • Model Integration & Fine-tuning: Evaluate, integrate, and fine-tune LLMs (e.g., GPT-5, Claude, Mistral) and embedding models for domain-specific financial use cases.
  • MLOps & Deployment: Build and maintain ML/GenAI deployment pipelines using modern MLOps practices, ensuring reliability, observability, and governance.
  • Agentic Workflows: Design and implement multi-agent orchestration frameworks (e.g., LangGraph, Google ADK) for complex, multi-step operational workflows.
  • Enterprise AI Governance: Collaborate with Citi's AI Risk and Compliance teams to ensure all AI solutions align with regulatory requirements, responsible AI frameworks, and data privacy standards.
  • Data Engineering: Design and optimize data pipelines feeding AI systems, working with vector databases (e.g., Pinecone, Weaviate, pgvector) and enterprise data platforms.
  • Technical Leadership: Mentor junior developers, lead code reviews, and contribute to GenAI standards and best practices across the COO Technology organization.
  • Stakeholder Collaboration: Translate complex business requirements from COO operations stakeholders into technical AI solutions, providing clear communication of trade-offs and timelines.

Required Qualifications
  • Experience: 10+ years of professional software engineering experience, with at least 2+ years focused on Generative AI / LLM application development.
  • Python: Expert-level Python proficiency - including async programming, API development (FastAPI, Flask), and software design patterns.
  • GenAI & LLM Stack:
    • Deep hands-on experience with LLM frameworks: LangChain, LangGraph, LlamaIndex etc
    • Hands on experience with Google Cloud AI Platform
    • Proven experience with RAG architectures, embedding pipelines, and vector search
    • Strong understanding of prompt engineering, few-shot learning, and chain-of-thought techniques
    • Experience integrating with LLM APIs: OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI
  • Machine Learning: Solid grounding in ML fundamentals; familiarity with model evaluation, fine-tuning (LoRA, PEFT), and inference optimization.
  • Cloud Platforms: Hands-on experience with at least one major cloud provider - AWS, Azure, or GCP - particularly managed AI/ML services.
  • Data & Databases: Proficiency with SQL, NoSQL, and vector databases (Pinecone, Weaviate, Chroma, pgvector).
  • Software Engineering Practices: Strong understanding of CI/CD pipelines, containerization (Docker, Kubernetes), version control (Git), and automated testing.
  • Financial Services Acumen (Preferred): Prior experience in banking, fintech, or a regulated industry is a strong plus.

Preferred Qualifications
  • Experience with multi-agent orchestration frameworks (MS AgentFramework, ADK, Strands, LangGraph)
  • Familiarity with MLflow, Weights & Biases, or similar experiment tracking and model management tools
  • Knowledge of responsible AI practices: bias detection, explainability, hallucination mitigation
  • Exposure to Kafka, Spark, or Airflow for data pipeline engineering
  • Experience working in an Agile/SAFe delivery environment
  • Advanced degree (M.S.) in Computer Science, AI/ML, or a related discipline - or equivalent demonstrated experience

Technical Stack (Working Knowledge Expected)
Languages: Python (expert), SQL, Bash
GenAI Frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel
LLM Providers: OpenAI / Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI
Vector Databases: Pinecone, Weaviate, pgvector, Chroma
Cloud: AWS / Azure / GCP
MLOps: MLflow, Docker, Kubernetes, GitHub Actions
Data Engineering: Spark, Airflow, Kafka
Databases: PostgreSQL, MongoDB, Redis
Education:
  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

Job Family Group:
Technology
Job Family:
Architecture
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$176,720.00 - $265,080.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 19, 2026
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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